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基于序列轮廓线的凸面目标全自动重构方法

周朗明 张小虎 关棒磊

沈江, 余海燕, 徐曼. 实体异构性下证据链融合推理的多属性群决策. 自动化学报, 2015, 41(4): 832-842. doi: 10.16383/j.aas.2015.c140650
引用本文: 周朗明, 张小虎, 关棒磊. 基于序列轮廓线的凸面目标全自动重构方法. 自动化学报, 2015, 41(4): 725-734. doi: 10.16383/j.aas.2015.c140369
SHEN Jiang, YU Hai-Yan, XU Man. Heterogeneous Evidence Chains Based Fusion Reasoning for Multi-attribute Group Decision Making. ACTA AUTOMATICA SINICA, 2015, 41(4): 832-842. doi: 10.16383/j.aas.2015.c140650
Citation: ZHOU Lang-Ming, ZHANG Xiao-Hu, GUAN Bang-Lei. An Automatic Reconstruction Method of Convex Object Based on Sequence Contours. ACTA AUTOMATICA SINICA, 2015, 41(4): 725-734. doi: 10.16383/j.aas.2015.c140369

基于序列轮廓线的凸面目标全自动重构方法

doi: 10.16383/j.aas.2015.c140369
基金项目: 

国家自然科学基金(11272347),国家重大科学仪器设备开发专项(2013YQ140517)资助

详细信息
    作者简介:

    张小虎 国防科学技术大学航天科学与工程学院研究员.主要研究方向为摄像测量与计算机视觉.E-mail:zxh1302@hotmail.com

    通讯作者:

    周朗明 国防科学技术大学航天科学与工程学院博士后.主要研究方向为数字摄影测量与计算机视觉.本文通信作者.E-mail:zlm_mj@126.com

An Automatic Reconstruction Method of Convex Object Based on Sequence Contours

Funds: 

Supported by National Natural Science Foundation of China(11272347), and National Key Scientific Instrument and Equipment Development Project(2013YQ140517)

  • 摘要: 凸面目标在成像时会表现尺寸较小、纹理稀疏或缺乏、透光、反光等特点.在对其进行三维重构时,传统的立体视觉匹配、主动视觉扫描(激光或结构光)等重构方法无法提供良好的解决方案.针对此类目标的重构难题,本文提出一种基于序列轮廓线的全自动重构方法.该方法首先采集目标的序列轮廓影像,然后提取高精度的轮廓线,再利用多个视角的轮廓线对初始外包体进行空间切割得到目标的初始三维模型,接着根据角度和面积约束对初始三维模型中的面进行合并,最后利用合并后的面重新对外包体进行精细切割得到目标的精确三维刻面模型.通过对凸面目标(注射器针头,直径约为3mm)的重构实验证明,利用本文的方法重构得到的模型角度误差小于0.7,执行时间小于15s,重构过程无需人工干预,能有效解决凸面目标的三维重构及视觉测量难题.
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出版历程
  • 收稿日期:  2014-06-03
  • 修回日期:  2014-11-15
  • 刊出日期:  2015-04-20

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